Detecting objects in an image using Amazon Rekognition and Lambda
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Updated
Nov 22, 2024 - Jupyter Notebook
Detecting objects in an image using Amazon Rekognition and Lambda
An image is uploaded to the S3 bucket under the S3 upload event triggers the Execution of Lambda function, which kicks off an execution of AWS Step Functions, passing in the S3 bucket and object key as input parameters.
This chapter covers the Amazon Rekognition service for analyzing the content of the images using various techniques. You will learn how to analyze faces and recognize celebrities in images. You will also be able to compare faces in different images to see how closely they match with each other.
facial-recognition–based access control system using AWS services. The solution comprises two AWS Lambda functions (registration & authentication), API Gateway endpoints, an Amazon Rekognition collection, DynamoDB for user storage, and a ReactJS frontend for visitor interactions.
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Detect Protective Equipment with AWS DeepLens and Amazon Rekognition.
Using Amazon Rekognition to create a collection, add faces to the collection, deleting collections, deleting faces in collection, listing all the collections and describing collections.
Sistema de seguridad para reconocimiento facial y detección de actitudes sospechosas en las tribunas
A CLI tool for analyzing the contents of an image.
This repository contains the implementation of various AWS AI Services.
Network camera image analysis using Amazon AWS infrastructure. Notification is sent when object detected on video stream.
Search images of the sportsman by his number
This library aims to provide a unified approach for representing generative AI components, and enable seamless integration and interoperability with AI services from various providers such as Azure OpenAI, Amazon, Google and Aliyun/Alicloud. Compatible to .NET standard 2.0 and .NET 8.0+.
Aplicação serverless usando Amazon Translate e Amazon Rekognition para analisar imagens
A fully containerized, event-driven image processing pipeline built with Go, AWS Lambda, and Amazon Rekognition.
Used Amazon Rekognition to identify celebrities
Traffic Guard portal for users
This application will recognize faces in an image and blur them, via Amazon Rekognition.
AWS CloudFormation template for creating resources for a static website on an S3 bucket with an application for painting drawings according to the selected topic, where it is checked whether the drawing coincides with the topic using Amazon Rekognition image analysis.
Add a description, image, and links to the amazon-rekognition topic page so that developers can more easily learn about it.
To associate your repository with the amazon-rekognition topic, visit your repo's landing page and select "manage topics."